Machine Learning Engineer (KTP Associate)

Full-time, fixed term (33 months)

We are seeking an ambitious, talented and motivated individual to be at the centre of an innovative KTP project with ARC Building Solutions Ltd – the UK’s leading manufacturer of cavity fire barriers and cavity closers.

This 33-month project will see you work with ARC and academics from the School of Built Environment, Engineering and Computing at Leeds Beckett University to create a bespoke, quality and installation monitoring product utilising AI predictive model development and data monitoring. The product will optimise installation quality, automate fault finding and be underpinned by dynamic digital asset management.

ARC is the UK’s leading manufacturer of cavity fire barriers and cavity closers: the only UK manufacturer of low-rise cavity barriers to hold internationally recognised third-party IFC certification. ARC collaborate with industry partners to solve challenges across new build, retrofit, low-rise, high-rise and insulation sectors. This agile approach positions ARC as part of the avant-garde of construction product manufacturers. Founded in 2008, ARC’s offices and manufacturing facility is based in Gildersome, Leeds. The successful candidate will be based at the company premises, and will feel, to all intents and purposes, part of the ARC team.

This innovative project is vital in fulfilling ARC’s longer-term strategic ambition to achieve more regulated assurance that their fire prevention products are correctly installed. The development of this solution has the potential to revolutionise the current building-site industry practices and address key recommendations within the Hackitt Report.

We encourage applications from a graduate with a good first degree in computing or relevant, professional experience and certification in software development and machine learning.

Excellent project management skills, proactive problem-solving abilities, strong interpersonal skills with the ability to engage and influence multiple stakeholders are all qualities which the successful candidate should bring.

You will work alongside an engaged and forward-thinking leadership team, and a team of highly regarded academics from Leeds Beckett University, gaining wide-ranging and senior level experience.

We need an enthusiastic, self-motivated person bringing not only a Bachelor’s degree (2.1 or higher) in Marketing, Business Management, Leadership or Human Resource Management (or similar). Preference will be given to an associate who also has a higher level professional or academic qualification in a related area e.g. Chartered Institute of Marketing Diploma, Strategic Marketing, Human Resource Management.

To arrange an informal discussion about this post, please contact Rosi Newman at r.j.newman@leedsbeckett.ac.uk.

The project provides dedicated budgets to support training and development (£2k pa) alongside opportunities to access the university’s pension scheme, staff benefits and discounts, staff training and development programmes as well as high level support from expert Leeds Beckett academics. The university also offers candidates the opportunity to study for a higher degree (MRes, MPhil or PhD) with a fee waiver in place.

There is a travel and subsistence budget included in the project.

Closing date: Monday 3^rd March 2025 (23:59)

For more information and to apply please click here

Working here means you’ll also have access to a wide range of benefits including our generous pension schemes, excellent holiday entitlements, flexible working, reduced study fees, subsidised fitness facilities and a lot more.

We welcome applications from all individuals and particularly from black and global majority candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit.

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